Zhaofen Lin

984 citations
12 papers · 570 indexed · 1 hit paper · h-index 7
Topics
COVID-19 epidemiological studies (2 papers)COVID-19 Pandemic Impacts (2 papers)Sepsis Diagnosis and Treatment (2 papers)

In The Last Decade

Zhaofen Lin

12 papers receiving 548 citations

Hit Papers

Estimation of the reproductive number of novel coronaviru...20202026202220242020100200300400

Peers

Zhaofen Lin
Comparison fields: 5 of 114
  • Modeling and Simulation 303
  • Infectious Diseases 199
  • Economics and Econometrics 133
  • Pulmonary and Respiratory Medicine 64
  • Epidemiology 63
Replace Paula Byrne with:
Paula Byrne Ireland
Lei Hua China
Soyoung Kim South Korea
Jing Shan China
Justin Wong Brunei
Wee Hoe Gan Singapore
Zeeshan Ahmed Pakistan
Kaige Dong China
Yanshan Zhu China
Zhaofen Lin relative to Paula Byrne Ireland Paula Byrne's profile →
Citations per field
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Paula Byrne · 1×
Citations per year

Countries citing papers authored by Zhaofen Lin

Since Specialization
Citations

This map shows the geographic impact of Zhaofen Lin's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Zhaofen Lin with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Zhaofen Lin more than expected).

Fields of papers citing papers by Zhaofen Lin

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Zhaofen Lin. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Zhaofen Lin. The network helps show where Zhaofen Lin may publish in the future.

Co-authorship network of co-authors of Zhaofen Lin

This figure shows the co-authorship network connecting the top 25 collaborators of Zhaofen Lin. A scholar is included among the top collaborators of Zhaofen Lin based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Zhaofen Lin. Zhaofen Lin is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

12 of 12 papers shown
#WorkIndexed citations
1 5
2 12
3
Estimation of the reproductive number of novel coronavirus (COVID-19) and the probable outbreak size on the Diamond Princess cruise ship: A data-driven analysisbreakdown →
437
4 29
5 27
6 7
7 2
8 30
9 6
10 12
11 2
12 1

About Zhaofen Lin

Zhaofen Lin is a scholar working on Modeling and Simulation, Critical Care and Intensive Care Medicine and Biomaterials, having authored 12 papers that have together received 570 indexed citations. Recurring topics across this work include COVID-19 epidemiological studies (2 papers), COVID-19 Pandemic Impacts (2 papers) and Sepsis Diagnosis and Treatment (2 papers). The work is most often cited by research in Modeling and Simulation (303 citations), Infectious Diseases (199 citations) and Economics and Econometrics (133 citations). Zhaofen Lin has collaborated with scholars based in China, United Kingdom and Türkiye. Frequent co-authors include Dechang Chen, Sheng Zhang, Wenbo Yu, Liwei Duan, Chengwei Wang, Yuan Yuan, Changsheng Liu, Hua Hong, Huayi Zhou and Juan Zhou. Their work appears in journals such as ACS Applied Materials & Interfaces, RSC Advances and Intensive Care Medicine.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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